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beeca  

Binary Endpoint Estimation with Covariate Adjustment
View on CRAN: Click here


Download and install beeca package within the R console
Install from CRAN:
install.packages("beeca")

Install from Github:
library("remotes")
install_github("cran/beeca")

Install by package version:
library("remotes")
install_version("beeca", "0.2.0")



Attach the package and use:
library("beeca")
Maintained by
Alex Przybylski
[Scholar Profile | Author Map]
First Published: 2024-06-18
Latest Update: 2024-06-18
Description:
Performs estimation of marginal treatment effects for binary outcomes when using logistic regression working models with covariate adjustment (see discussions in Magirr et al (2024) <https://osf.io/9mp58/>). Implements the variance estimators of Ge et al (2011) <doi:10.1177/009286151104500409> and Ye et al (2023) <doi:10.1080/24754269.2023.2205802>.
How to cite:
Alex Przybylski (2024). beeca: Binary Endpoint Estimation with Covariate Adjustment. R package version 0.2.0, https://cran.r-project.org/web/packages/beeca. Accessed 10 Apr. 2025.
Previous versions and publish date:
0.1.3 (2024-06-18 15:30)
Other packages that cited beeca R package
View beeca citation profile
Other R packages that beeca depends, imports, suggests or enhances
Complete documentation for beeca
Functions, R codes and Examples using the beeca R package
Full beeca package functions and examples
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